一种面向业务逻辑驱动的数据库变更感知与文档化同步方法

By using Binlog technology, business logic mapping algorithms, and event inference engines to generate business semantic structured event documents for the hearing aid industry, the professional issues of database change perception and synchronization in the hearing aid industry have been solved, and efficient, reliable data synchronization and intelligent processing of multi-terminal systems have been achieved.

CN122412433APending Publication Date: 2026-07-17HANGZHOU HUIER HEARING INSTR & TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU HUIER HEARING INSTR & TECH CO LTD
Filing Date
2026-06-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing database change perception methods lack professional business semantic processing for the hearing aid industry, resulting in data synchronization delays, loss, or inconsistencies. This makes it impossible to generate standardized business semantic documents and is difficult to adapt to the digital operation needs of the hearing aid industry.

Method used

Binlog technology is used to monitor data changes of core business entities in the hearing aid industry in real time, business logic mapping algorithms are formulated, cross-table context models and event inference engines are built, business semantic structure event documents are generated, and data synchronization of multiple systems is achieved through message queue technology.

Benefits of technology

It enables accurate and real-time data change perception of core business entities in the hearing aid industry, generates standardized business semantic documents, improves the operating efficiency and intelligence of multi-terminal systems, and adapts to the industry's professional needs.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供了一种面向业务逻辑驱动的数据库变更感知与文档化同步方法,涉及数据库管理技术领域,包括:基于Binlog技术,实时监听并捕获助听器核心业务实体的全量数据变更,并将变更的全量数据记为对应的标准变更消息;制定业务逻辑映射算法,对标准变更消息进行规则匹配,获得对应的业务事件类型;构建跨表上下文,对对应的业务事件类型进行事件链式归属判断,获取对应助听器核心业务实体;构建事件推导引擎,对助听器核心业务实体进行业务逻辑推导,进而生成业务语义化结构事件文档;基于消息队列技术对业务语义化结构事件文档进行数据同步处理,实现助听器多端系统的数据同步,提高系统的智能化程度以及运行效率。
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